A Probability Metrics Approach to Financial Risk Measures
Svetlozar T. Rachev
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Description for A Probability Metrics Approach to Financial Risk Measures
Hardback. A Probability Metrics Approach to Financial Risk Measures relates the field of probability metrics and risk measures to one another and applies them to finance for the first time. The book helps to answer the question: which risk measure is best for a given problem. Num Pages: 392 pages, Illustrations. BIC Classification: KC; KJMV1. Category: (P) Professional & Vocational. Dimension: 238 x 163 x 26. Weight in Grams: 698.
A Probability Metrics Approach to Financial Risk Measures relates the field of probability metrics and risk measures to one another and applies them to finance for the first time.
A Probability Metrics Approach to Financial Risk Measures relates the field of probability metrics and risk measures to one another and applies them to finance for the first time.
- Helps to answer the question: which risk measure is best for a given problem?
- Finds new relations between existing classes of risk measures
- Describes applications in finance and extends them where possible
- Presents the theory of probability metrics in a more accessible form which would be appropriate for non-specialists in the field
- Applications include optimal portfolio choice, risk theory, and numerical methods in finance
- Topics requiring more mathematical rigor and detail are included in technical ... Read more
Product Details
Format
Hardback
Publication date
2011
Publisher
John Wiley and Sons Ltd United Kingdom
Number of pages
392
Condition
New
Number of Pages
392
Place of Publication
Hoboken, United Kingdom
ISBN
9781405183697
SKU
V9781405183697
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50
About Svetlozar T. Rachev
Svetlozar (Zari) T. Rachev is Chair-Professor in Statistics, Econometrics and Mathematical Finance at the University of Karlsruhe in the School of Economics and Business Engineering. He is also Professor Emeritus at the University of California, Santa Barbara in the Department of Statistics and Applied Probability. He has published seven monographs, eight handbooks and special-edited volumes, and over 300 research articles. ... Read more
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